linear convergence

Robust PCA by Manifold Optimization JMLR 2018 SDCA-Powered Inexact Dual Augmented Lagrangian Method for Fast CRF Learning AISTATS 2018 Stochastic Second-Order Method for Large-Scale Nonconvex Sparse Learning Models IJCAI 2018 Stochastic Spectral and Conjugate Descent Methods NeurIPS 2018 Theoretical Linear Convergence of Unfolded ISTA and Its Practical Weights and Thresholds NeurIPS 2018 Towards Memory-Friendly Deterministic Incremental Gradient Method AISTATS 2018 Towards Provable Learning of Polynomial Neural Networks Using Low-Rank Matrix Estimation AISTATS 2018 Adaptive Accelerated Gradient Converging Method under H\"{o}lderian Error Bound Condition NeurIPS 2017 Adaptive SVRG Methods under Error Bound Conditions with Unknown Growth Parameter NeurIPS 2017 A Nonconvex Approach for Phase Retrieval: Reshaped Wirtinger Flow and Incremental Algorithms JMLR 2017 ASAGA: Asynchronous Parallel SAGA AISTATS 2017 A Unified Computational and Statistical Framework for Nonconvex Low-rank Matrix Estimation AISTATS 2017 A Unified Variance Reduction-Based Framework for Nonconvex Low-Rank Matrix Recovery ICML 2017 Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction NeurIPS 2017 Decomposition-Invariant Conditional Gradient for General Polytopes with Line Search NeurIPS 2017 Efficient Algorithm for Sparse Tensor-variate Gaussian Graphical Models via Gradient Descent AISTATS 2017 Exploiting Strong Convexity from Data with Primal-Dual First-Order Algorithms ICML 2017 Fast Stochastic Variance Reduced ADMM for Stochastic Composition Optimization IJCAI 2017 Finite-sum Composition Optimization via Variance Reduced Gradient Descent AISTATS 2017 Geometric Descent Method for Convex Composite Minimization NeurIPS 2017 High-Dimensional Variance-Reduced Stochastic Gradient Expectation-Maximization Algorithm ICML 2017 Learning ReLUs via Gradient Descent NeurIPS 2017 Linear Convergence of a Frank-Wolfe Type Algorithm over Trace-Norm Balls NeurIPS 2017 Linear Convergence of Stochastic Frank Wolfe Variants AISTATS 2017 SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient ICML 2017